Géraldine Jeckeln

TL;DR: In a comprehensive comparison of face identification by humans and computers, it is found that forensic facial examiners, facial reviewers, and superrecognizers were more accurate than fingerprint examiners and students on a challenging face identification test.

TL;DR: It is concluded that social interaction does not bolster accuracy for unfamiliar face identity matching in dyads beyond what can be achieved by averaging judgements.

TL;DR: In this article , confidence in the correctness of the perceptual decision was measured with a confidence forced-choice methodology: upon completion of two perceptual face-identity matching trials, the participants were asked to compare the two decisions and to select the trial on which they felt more confident.

TL;DR: In this paper, the authors review recent work on human and machine performance on face recognition tasks and consider the benefits of statistically fusing human and human responses to improve performance, while considering the strategic differences in how humans with various levels of expertise approach face identification tasks.

TL;DR: In this article , the authors point out the possibility that DCNNs might be useful for improving face identification accuracy when morphed faces are presented and indicate the significance of the ORE in morph attack susceptibility in applied settings.